Abstract: In non-limiting examples of the present disclosure, systems, methods, and devices for detecting and classifying service issues associated with a cloud-based service are presented. Operational event data for a plurality of operations associated with the cloud-based application service may be monitored. A statistical-based unsupervised machine learning model may be applied to the operational event data. A subset of the operational event data may be tagged as potentially being associated with a code regression, wherein the subset comprises a time series of operational event data. A neural network may be applied to the time series of operational event data, and the time series of operational event data may be flagged for follow-up if the neural network classifies the time series as relating to a positive code regression category.

Abstract: In some implementations, a method includes receiving an input domain name and generating a normalized domain name based on the input domain name. The normalized domain name including at least one of an internationalized domain name (IDNA) or a Unicode domain name that is converted from puny code characters in the input domain name. The method also includes determining whether the input domain name is excluded from domain impersonation analysis based on the normalized domain name and risk configuration data associated with an entity. In the event that the input domain name is not excluded from domain impersonation analysis, the method further includes calculating a confidence score representing a risk of domain impersonation to the entity, calculating the confidence score including at least one of: i) analyzing a typo-squat in the input domain name; or ii) analyzing a combo-squat in the input domain name.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for detecting and classifying service issues associated with a cloud-based service are presented. Operational event data for a plurality of operations associated with the cloud-based application service may be monitored. A statistical-based unsupervised machine learning model may be applied to the operational event data. A subset of the operational event data may be tagged as potentially being associated with a code regression, wherein the subset comprises a time series of operational event data. A neural network may be applied to the time series of operational event data, and the time series of operational event data may be flagged for follow-up if the neural network classifies the time series as relating to a positive code regression category.

Abstract: A system enables initiation of request driven peak-hour builds to override “off-peak” patching schedules for updating server applications. An “off-peak” patching schedule is generated to minimize disruption from installing builds of patches. Notwithstanding the “off-peak” patching schedule, a tenant administrator initiates request driven peak-hour builds when some performance failure occurs during peak business hours. For example, the tenant administrator may generate a service request that includes incident data that is usable to identify and/or develop a particular patch for resolving the performance failure. Based on the service request, the “off-peak” patching schedule is overridden to expedite an out-of-sequence installation of a particular patch. In this way, a tenant administrator that becomes aware that some performance failure is disrupting information workers during a peak usage time-range (e.g.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for monitoring telemetry data from a cloud-based application service are presented. Telemetry data for a plurality of operations for the cloud-based application service may be analyzed, wherein the analysis comprises comparing a first time series with a second time series, and where data from the second time series relates to operations that were executed prior in time compared with execution of operations related to the first time series. One or more operational changes in the cloud-based application service may be identified based on the analysis, and at least one telemetry monitor may be dynamically configured based on the one or more operational changes that were identified.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for detecting and classifying service issues associated with a cloud-based service are presented. Operational event data for a plurality of operations associated with the cloud-based application service may be monitored. A statistical-based unsupervised machine learning model may be applied to the operational event data. A subset of the operational event data may be tagged as potentially being associated with a code regression, wherein the subset comprises a time series of operational event data. A neural network may be applied to the time series of operational event data, and the time series of operational event data may be flagged for follow-up if the neural network classifies the time series as relating to a positive code regression category.

Abstract: In non-limiting examples of the present disclosure, systems, methods and devices for monitoring telemetry data from a cloud-based application service are presented. Telemetry data for a plurality of operations for the cloud-based application service may be analyzed, wherein the analysis comprises comparing a first time series with a second time series, and where data from the second time series relates to operations that were executed prior in time compared with execution of operations related to the first time series. One or more operational changes in the cloud-based application service may be identified based on the analysis, and at least one telemetry monitor may be dynamically configured based on the one or more operational changes that were identified.

Abstract: A system to reduce strain on server farm computing resources by over-riding “off-peak” patching schedules in response to performance failures occurring on a server farm. Embodiments disclosed herein determine a patching schedule for causing builds of patches to be sequentially installed on server farms during an off-peak usage time-range. Responsive to a performance failure occurring on the server farm, embodiments disclosed herein identify a particular patch that is designed to resolve the performance failure. Then, the patching schedule is over-ridden to expedite an out-of-sequence installation of whichever build is first to include the particular patch. Because resolution of the performance failure is expedited, the impact of the performance failure on the computing resources of the server farm is reduced as compared to existing server farm patching systems.

Abstract: A system enables initiation of request driven peak-hour builds to override “off-peak” patching schedules for updating server applications. An “off-peak” patching schedule is generated to minimize disruption from installing builds of patches. Notwithstanding the “off-peak” patching schedule, a tenant administrator initiates request driven peak-hour builds when some performance failure occurs during peak business hours. For example, the tenant administrator may generate a service request that includes incident data that is usable to identify and/or develop a particular patch for resolving the performance failure. Based on the service request, the “off-peak” patching schedule is overridden to expedite an out-of-sequence installation of a particular patch. In this way, a tenant administrator that becomes aware that some performance failure is disrupting information workers during a peak usage time-range (e.g.

Abstract: A system enables initiation of request driven peak-hour builds to override “off-peak” patching schedules for updating server applications. An “off-peak” patching schedule is generated to minimize disruption from installing builds of patches. Notwithstanding the “off-peak” patching schedule, a tenant administrator initiates request driven peak-hour builds when some performance failure occurs during peak business hours. For example, the tenant administrator may generate a service request that includes incident data that is usable to identify and/or develop a particular patch for resolving the performance failure. Based on the service request, the “off-peak” patching schedule is overridden to expedite an out-of-sequence installation of a particular patch. In this way, a tenant administrator that becomes aware that some performance failure is disrupting information workers during a peak usage time-range (e.g.

Abstract: A system enables initiation of request driven peak-hour builds to override “off-peak” patching schedules for updating server applications. An “off-peak” patching schedule is generated to minimize disruption from installing builds of patches. Notwithstanding the “off-peak” patching schedule, a tenant administrator initiates request driven peak-hour builds when some performance failure occurs during peak business hours. For example, the tenant administrator may generate a service request that includes incident data that is usable to identify and/or develop a particular patch for resolving the performance failure. Based on the service request, the “off-peak” patching schedule is overridden to expedite an out-of-sequence installation of a particular patch. In this way, a tenant administrator that becomes aware that some performance failure is disrupting information workers during a peak usage time-range (e.g.

Abstract: A system to reduce strain on server farm computing resources by over-riding “off-peak” patching schedules in response to performance failures occurring on a server farm. Embodiments disclosed herein determine a patching schedule for causing builds of patches to be sequentially installed on server farms during an off-peak usage time-range. Responsive to a performance failure occurring on the server farm, embodiments disclosed herein identify a particular patch that is designed to resolve the performance failure. Then, the patching schedule is over-ridden to expedite an out-of-sequence installation of whichever build is first to include the particular patch. Because resolution of the performance failure is expedited, the impact of the performance failure on the computing resources of the server farm is reduced as compared to existing server farm patching systems.

Abstract: A system to reduce strain on server farm computing resources by over-riding “off-peak” patching schedules in response to performance failures occurring on a server farm. Embodiments disclosed herein determine a patching schedule for causing builds of patches to be sequentially installed on server farms during an off-peak usage time-range. Responsive to a performance failure occurring on the server farm, embodiments disclosed herein identify a particular patch that is designed to resolve the performance failure. Then, the patching schedule is over-ridden to expedite an out-of-sequence installation of whichever build is first to include the particular patch. Because resolution of the performance failure is expedited, the impact of the performance failure on the computing resources of the server farm is reduced as compared to existing server farm patching systems.

Abstract: A solar concentrator for concentrating solar radiation toward a solar cell, a concentrated photovoltaic module including a solar concentrator and a solar cell, and a secondary optical element for use in a solar concentrator are provided. The solar concentrator includes a primary optical element for collecting and focusing the solar radiation, and a secondary optical element. The secondary optical element is arranged to receive the solar radiation collected and focused by the primary optical element and includes an input end, and output end, and an adiabatic light guide tapering from the input end toward the output end and configured for concentrating and adiabatically guiding the solar radiation between the input and output ends. Some embodiments of the present invention can be useful in solar photovoltaic applications where it is desirable to provide high acceptance angles while maintaining high concentration and optical efficiency levels.

Abstract: A solar concentrator for concentrating solar radiation toward a solar cell, a concentrated photovoltaic module including a solar concentrator and a solar cell, and a secondary optical element for use in a solar concentrator are provided. The solar concentrator includes a primary optical element for collecting and focusing the solar radiation, and a secondary optical element. The secondary optical element is arranged to receive the solar radiation collected and focused by the primary optical element and includes an input end, and output end, and an adiabatic light guide tapering from the input end toward the output end and configured for concentrating and adiabatically guiding the solar radiation between the input and output ends. Some embodiments of the present invention can be useful in solar photovoltaic applications where it is desirable to provide high acceptance angles while maintaining high concentration and optical efficiency levels.

Abstract: A method for associating a mobile electronic device with a preexisting subscriber account includes capturing a matrix barcode image presented on a display by a first device. The matrix barcode image is encoded with first device identification data that identifies the first device. The first device identification data is associated with a preexisting subscriber account stored in a subscriber database. The method further includes extracting the first device identification data from the matrix barcode image, and obtaining mobile device identification data that identifies a mobile electronic device. The method further includes transmitting a message to a device manager server, the message including the first device identification data, the mobile device identification data and a request to associate the mobile device identification data with the preexisting subscriber account associated with the first device identification data.

Abstract: A method for associating a mobile electronic device with a preexisting subscriber account includes capturing a matrix barcode image presented on a display by a first device. The matrix barcode image is encoded with first device identification data that identifies the first device. The first device identification data is associated with a preexisting subscriber account stored in a subscriber database. The method further includes extracting the first device identification data from the matrix barcode image, and obtaining mobile device identification data that identifies a mobile electronic device. The method further includes transmitting a message to a device manager server, the message including the first device identification data, the mobile device identification data and a request to associate the mobile device identification data with the preexisting subscriber account associated with the first device identification data.

Abstract: A U-shaped spacer element supporting and retaining a photovoltaic panel assembly spacedly over a rooftop corrugated sheet; one shorter side leg thereof having an oblong bore, the other side leg having an intermediate ridge section. A screw engages into the ridge web and axially clears the shorter leg, anchoring the main body to the supporting rooftop frame elements through the corrugated sheet. The ridge section conformingly abuts against a longitudinal rib of the corrugated sheet. An L-shape bracket inner leg abuts against the main body short leg, the bracket outer leg abutting sideways against a registering portion of the photovoltaic panel assembly. A second oblong bore is made into the outer leg and extends parallel to the plane of the main body base leg. Two bolts engage the oblong bores and adjustably interlock the L-shape bracket to the spacer element main body and to the photovoltaic assembly.

Abstract: A U-shaped spacer element supporting and retaining a photovoltaic panel assembly spacedly over a rooftop corrugated sheet; one shorter side leg thereof having an oblong bore, the other side leg having an intermediate ridge section. A screw engages into the ridge web and axially clears the shorter leg, anchoring the main body to the supporting rooftop frame elements through the corrugated sheet. The ridge section conformingly abuts against a longitudinal rib of the corrugated sheet. An L-shape bracket inner leg abuts against the main body short leg, the bracket outer leg abutting sideways against a registering portion of the photovoltaic panel assembly. A second oblong bore is made into the outer leg and extends parallel to the plane of the main body base leg. Two bolts engage the oblong bores and adjustably interlock the L-shape bracket to the spacer element main body and to the photovoltaic assembly.

Abstract: A low concentrating solar collector comprising: at least one elongated cross-sectionally V-shape beam, a first and second sunray light reflecting surfaces integral to the respective interior faces of the V-shape beam side legs, at least one of a photovoltaic cell and of a thermal collector member carried by the beam web, the selected photovoltaic cell member and thermal collector member having exposed surfaces accessible to sunrays crossing the V-beam mouth and striking and deflected by the beam side walls light reflecting surfaces toward the beam web. The beam side walls are of such size and composition as to be able to constitute heat sink for optimizing thermal management of the solar collector.